Triple
T4667931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaviside step function |
E102892
|
entity |
| Predicate | scalingProperty |
P58733
|
FINISHED |
| Object | H(kx)=H(x) for k>0 (up to location scaling) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: H(kx)=H(x) for k>0 (up to location scaling) | Statement: [Heaviside step function, scalingProperty, H(kx)=H(x) for k>0 (up to location scaling)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scalingProperty Context triple: [Heaviside step function, scalingProperty, H(kx)=H(x) for k>0 (up to location scaling)]
-
A.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
B.
growthProperty
Indicates that one entity characterizes, constrains, or quantifies how another entity grows or changes in magnitude over some parameter (such as time, size, or input).
-
C.
associatedScale
Indicates that one entity is linked or connected to a particular scale used to measure, classify, or evaluate it.
-
D.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
E.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd655719dc8190beb6942f343a0ae7 |
completed | March 20, 2026, 3:18 p.m. |
Created at: March 20, 2026, 1:15 p.m.